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Supervised Learning: Understanding the Basics

Supervised learning is a fundamental concept in machine learning, where an algorithm learns from labeled training data to make predictions or classifications. It involves training a model with input-output pairs, also known as examples, to enable it to generalize and make accurate predictions on unseen data. This approach is widely used in various domains, ranging from image and speech recognition to natural language processing and recommendation systems.